Paper Info
Title
Localization and Tracking of Objects Using Cross-Correlation of Shadow Fading Noise
Abstract
Multipath and shadow fading are the primary cause for positioning errors in a Received Signal Strength Indicator (RSSI) based localization scheme. While fading, in general, is detrimental to localization accuracy, cross-correlation and divergence properties of shadow fading residuals may be utilized to improve localization and tracking accuracy of mobile IEEE 802.15.4 transmitters. Therefore, this paper begins by presenting a stochastic filter that models the fast changing multipath fading as a mean reverting Ornstein-Uhlenbeck (OU) process followed by a Generalized Auto Regressive Conditional Heteroskedasticity (GARCH) filtering to isolate the slow changing shadow fading residuals from measured RSSI values. Subsequently, a novel wireless transmitter localization scheme that combines the measured cross-correlation in shadow fading residuals between adjacent receivers using a Student-t Copula likelihood function is proposed. However, the long convergence time for this highly non-convex copula function might render our method unsuitable for tracking applications. Therefore, we present a faster tracking method where the velocity and heading of a mobile transmitter are estimated from α-Divergence between shadow fading signals and an onboard gyroscope respectively. To bind the localization error in this tracking method, the transmitter location estimates are smoothed by a Bayesian particle filter. The performance of our proposed localization and tracking method is validated over simulations and hardware experiments.
Year
DOI
Venue
2014
10.1109/TMC.2013.34
Mobile Computing, IEEE Transactions
Keywords
Field
DocType
Zigbee,object tracking,radio transmitters,GARCH filtering,IEEE 802.15.4 transmitters,OU process,Ornstein-Uhlenbeck,RSSI,Student-t Copula likelihood function,cross correlation,generalized auto regressive conditional heteroskedasticity,localization accuracy,mobile transmitter,multipath fading,objects tracking,onboard gyroscope,received signal strength indicator,shadow fading noise,stochastic filter,wireless transmitter localization scheme,Bayes Filter,Bayes filter,Copula,Divergence,GARCH,Maximum Likelihood,Ornstein-Uhlenbeck,Orstein-Uhlenbeck,Shadow Fading,Spatial Correlation,copula function,divergence,maximum likelihood,shadow fading,spatial correlation
Multipath propagation,Spatial correlation,Computer science,Fading,Particle filter,Filter (signal processing),Recursive Bayesian estimation,Algorithm,Fading distribution,Statistics,Channel state information,Distributed computing
Journal
Volume
Issue
ISSN
13
10
1536-1233
Citations 
PageRank 
References 
2
0.39
6
Authors
2
Name
Order
Citations
PageRank
Mohammed Rana Basheer181.61
Sarangapani Jagannathan2113694.89